Senior AI Manager / Lead Data Scientist

Daxtra Technologies; Musselburgh; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading company in AI-driven innovation is seeking a Senior AI Manager / Lead Data Scientist to spearhead AI/ML initiatives. In this role, you will lead a team, develop cutting-edge AI solutions, and collaborate across functions to integrate these technologies into products. Ideal candidates will have extensive experience in AI/ML development, particularly with Generative AI and deep learning, and will thrive in a dynamic, innovative environment.

Benefits

Competitive compensation

Flexible work environment

Opportunities for professional growth

Qualifications

• 7+ years of experience in AI/ML development, with at least 2 years in a leadership role.
• Strong experience with Generative AI and embeddings.
• Hands-on experience with cloud AI services and developing microservices.

Responsibilities

• Lead and manage a team of data scientists and ML engineers.
• Develop, train, and deploy AI/ML models focusing on Generative AI.
• Collaborate with product and engineering teams to integrate AI capabilities.

Skills

Generative AI

Deep Learning

Natural Language Processing

Problem Solving

Collaboration

Education

Master's or PhD in Computer Science, Machine Learning, AI, Data Science

Tools

AWS

GCP

Azure

FastAPI

Flask

Django

Docker

Job description

About Us:
Daxtra is at the forefront of AI-driven innovation, leveraging cutting-edge technologies to develop intelligent solutions that enhance business outcomes. We are looking for a Senior AI Manager / Lead Data Scientist to drive our AI/ML initiatives, manage a small but high-impact team, and push the boundaries of Generative AI, machine learning, vector search, and embeddings.

Role Overview:
As a Senior AI Manager / Lead Data Scientist, you will lead the development and deployment of AI and ML models, mentor a team of data scientists and engineers, and collaborate cross-functionally to integrate AI solutions into our products. You will leverage expertise in deep learning, NLP, embeddings, and Generative AI to create scalable, real-world applications.

Key Responsibilities:

• Lead and manage a team of data scientists and ML engineers, fostering innovation and collaboration.
• Develop, train, and deploy AI/ML models with a focus on Generative AI, embeddings, vector search, and deep learning.
• Research and implement state-of-the-art techniques in NLP, LLMs, and representation learning.
• Optimize and scale AI models for real-world applications in a production environment.
• Collaborate with product and engineering teams to integrate AI capabilities into enterprise solutions.
• Stay updated on advancements in AI/ML, evaluating emerging tools, frameworks, and methodologies.
• Establish best practices for AI model governance, ethics, and responsible AI deployment.
• Mentor junior team members and contribute to an AI-driven culture.
• Stay updated with the latest advancements in machine learning by regularly reviewing academic literature and research papers. Capable of translating theoretical insights into practical, real-world solutions.

Required Qualifications:

• Master's or PhD in Computer Science, Machine Learning, AI, Data Science, or a related field.
• 7+ years of experience in AI/ML development, with at least 2 years in a leadership or managerial role.
• Strong experience with Generative AI, embeddings, vector databases, and representation learning.
• Generative AI experience with Hugging Face, fine-tuning open-source LLMs like Mistral/Llama/Gemma/Phi/Qwen, vLLM, Text Generation Inference, unsloth, LoRA, adapters, DPO, ORPO, hugging face inference endpoints, LlamaIndex
• Experience with retrieval-augmented generation (RAG), semantic search, and LLM fine-tuning.
• Knowledge of cloud-based AI solutions (AWS, GCP, Azure) and MLOps best practices.
• Excellent problem-solving skills and ability to translate business challenges into AI solutions.
• Hands-on experience with cloud AI services (AWS, GCP, Azure) and developing microservices using FastAPI, Flask, or Django, with expertise in containerized deployment (Docker)
• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with real-time AI applications, recommendation systems, or personalization engines.
• Knowledge of AI ethics, model interpretability, and bias mitigation.
• Familiarity with production-scale vector databases (e.g., QDrant, Pinecone, Weaviate).
• Previous experience in a startup or fast-paced environment.

Why Join Us?

• Opportunity to lead cutting-edge AI initiatives in a dynamic environment.
• Work with a team of passionate AI/ML experts driving innovation.
• Competitive compensation, benefits, and opportunities for professional growth.
• Flexible work environment with remote-friendly options.

Join us in shaping the future of AI! Apply today at https://www.daxtra.com/join-daxtra/